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通过对压水堆微分方程数学模型进行Taylor级数展开,建立了压水堆的状态空间模型,设计了一种模型预测控制器,以实现负荷跟踪的自动控制.将二次规划(QP)用于求取模型预测控制系统的最优解.通过模拟实验评估所设计的基于二次规划的模型预测控制器QPMPC的负荷跟踪性能,模拟结果表明:所设计的QPMPC控制器能够快速、有效地跟踪压水堆负荷变化.“,”The state space model of the reactor core is modeled by expanding the differential equation model with Taylor series, and a model predictive controller is designed to achieve the automatic control of load tracking in pressurized water reactor (PWR) nuclear power plants. Quadratic programming (QP) is introduced for the optimal solutions of the model predictive control (MPC) system. To evaluate the performance of the designed QP-based MPC (QPMPC) controller for load tracking, simulations are designed, and the simulation results show that the proposed QPMPC controller can track the load changing swiftly and availably.